midGraph Theory
Bellman-Ford Algorithm
Updated Apr 28, 2026
Short answer
Computes shortest paths from a single source; handles negative edge weights and detects negative cycles.
Deep explanation
Mid-level Graph theory focuses on classic pathfinding and optimization algorithms. Computes shortest paths from a single source; handles negative edge weights and detects negative cycles.
Real-world example
Google Maps finding the fastest route to a destination.
Common mistakes
- Using Dijkstra on a graph with negative edge weights.
Follow-up questions
- Time complexity of Dijkstra?